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2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -639,7 +639,7 @@ We will need three inputs.

Since we're using the SSD300 variant, the images would need to be sized at `300, 300` pixels and in the RGB format.

Remember, we're using a VGG-16 base pretrained on ImageNet that is already available in PyTorch's `torchvision` module. [This page](https://pytorch.org/docs/master/torchvision/models.html) details the preprocessing or transformation we would need to perform in order to use this model – pixel values must be in the range [0,1] and we must then normalize the image by the mean and standard deviation of the ImageNet images' RGB channels.
Remember, we're using a VGG-16 base pretrained on ImageNet that is already available in PyTorch's `torchvision` module. [This page](https://pytorch.org/docs/stable/torchvision/models.html) details the preprocessing or transformation we would need to perform in order to use this model – pixel values must be in the range [0,1] and we must then normalize the image by the mean and standard deviation of the ImageNet images' RGB channels.

```python
mean = [0.485, 0.456, 0.406]
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